Operations Lead Engineer (#537)

We are seeking an Operations Lead Engineer to drive the reliability, release automation, and continuous improvement of our business applications. This role balances day-to-day production stability with proactive SRE/DevOps initiatives in a highly collaborative, global environment.

Key Responsibilities

1. Production Operations & Release Management

• L1/L2 Support: Lead incident response, troubleshooting, and root cause analysis (KEDB).

• Release & Batch Execution: Coordinate change management and deployment activities using Jenkins, GitHub, and Control-M.

2. CI/CD & Automation (SRE)

• Pipeline Engineering: Design, implement, and optimize CI/CD pipelines (Jenkins, GitHub Actions).

• Toil Reduction: Automate repetitive tasks (deployments, data extraction, batch jobs) using scripting languages.

3. Monitoring & Observability

• Alerting & Metrics: Build and maintain telemetry dashboards using Prometheus, Grafana, Dynatrace, CloudWatch, and Splunk.

• MTTR Reduction: Optimize alerting logic to accelerate incident recovery and analyze performance trends.

4. Cloud & Platform Collaboration

• Hybrid Cloud Support: Manage application configurations on AWS and OpenShift.

• Infrastructure Coordination: Collaborate on network configs (DNS, Load Balancers, Firewalls) and SSL certificate renewals.

Required Skills & Experience

Must Have

• Experience: 3+ years in IT Operations, SRE, or DevOps.

• OS & Cloud: Strong administration skills in Linux (RHEL) or Windows Server; basic knowledge of AWS and containerization (Docker, Kubernetes/OpenShift).

• CI/CD & Git: Solid experience with Jenkins and Git-flow (branch management, PRs).

• Scripting: Proficiency in at least one scripting language (Python, Shell/Bash, Groovy, PowerShell).

• Observability: Hands-on experience with modern monitoring tools (e.g., Grafana, Prometheus, Splunk).

• Agile & Docs: Experience working in Scrum/Kanban (Jira) and writing technical runbooks.

Nice to Have

• Experience in the Financial or Insurance industries.

• Experience with enterprise job schedulers (like Control-M).

• Knowledge of Infrastructure as Code (IaC) via Terraform.

• Practical understanding of SRE concepts (SLOs, Error Budgets, Post-mortems).